| Title |
Improving the long-lead predictability of El Niño using a novel forecasting scheme based on a dynamic components model
|
|---|---|
| Published in |
Climate Dynamics, May 2016
|
| DOI | 10.1007/s00382-016-3139-y |
| Authors |
Desislava Petrova, Siem Jan Koopman, Joan Ballester, Xavier Rodó |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 28% |
| Researcher | 4 | 16% |
| Student > Doctoral Student | 3 | 12% |
| Student > Bachelor | 2 | 8% |
| Student > Master | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 5 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 8 | 32% |
| Environmental Science | 3 | 12% |
| Mathematics | 2 | 8% |
| Physics and Astronomy | 2 | 8% |
| Unspecified | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 36. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 April 2020.
All research outputs
#962,837
of 22,867,327 outputs
Outputs from Climate Dynamics
#153
of 4,930 outputs
Outputs of similar age
#18,279
of 298,446 outputs
Outputs of similar age from Climate Dynamics
#5
of 131 outputs
Altmetric has tracked 22,867,327 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,930 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 298,446 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.